На побег Дурова из Франции поставили криптовалюту на $265 000

investing.ruPubblicato 2024-08-30Pubblicato ultima volta 2024-08-30

Happycoin.club - Не успел Павел Дуров выйти на свободу под залог, как пользователи платформы для ставок Polymarket начали заключать пари на его побег из Франции.

Клиенты Polymarket могут поставить на то, что Павел нарушит взятое на себя обязательство не покидать Францию и скроется за границей до 15 сентября. Вероятность этого исхода оценивается в 11%, поэтому успешное пари на это событие принесёт огромную прибыль в размере 801%.

Изменение вероятности побега Дурова из Франции

На побег Дурова уже поставили цифровые активы стоимостью $265 266, и, учитывая низкий шанс положительного расчёта этого события, становится очевидным, что подавляющая масса азартных членов криптосообщества зарядили на то, что Павел не покинет страну. Однако это убеждение зиждется не на вере в законопослушность Дурова, а на том факте, что у бизнесмена забрали паспорт, и без документа он якобы не сможет улететь на частном самолёте.

Также бытует мнение о том, что побег Павла нанесёт сильный удар по Telegram, так как навлечёт на мессенджер гнев регуляторов. Но эта точка зрения не подтверждается статистикой. По состоянию на февраль 2024 года Telegram пользовались около 41 млн жителей Евросоюза, а общее количество людей, запускавших мессенджер, достигало 900 млн. Соответственно, даже в случае запрета и успешной блокировки Telegram в ЕС клиентская база мессенджера снизится лишь на 4,6%.

Читайте оригинальную статью на сайте Happycoin.club

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From 2 Million Monthly Active Users to Zero: Zapper's Demise in the "Maturation" of DeFi

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Tsinghua University’s Intelligent Industry Research Institute (AIR) has developed an AI mathematician agent named AIM, designed not just to solve math problems but to actively participate in early-stage research. In a recent study, researchers collaborated with AIM to develop "Sign Embedding Quantum Algorithms," resulting in an 84-page paper on quantum algorithms for matrix equations and functions. The research began with a human researcher's intuition: can rational approximation serve as a design principle for quantum algorithms? AIM helped expand this idea into multiple candidate research directions. Human researchers then filtered and focused on the most promising path. AIM assisted in organizing theorems, generating proof drafts, and performing complexity analysis, while humans maintained oversight, auditing assumptions and refining derivations. This case illustrates a human-AI collaborative workflow: AI rapidly explores and expands research avenues, generates draft materials, and aids in checking derivations; human researchers provide critical judgment on direction, value, and validity. The process emphasizes "high-throughput candidate generation + human value gating + AI-assisted audit and repair + human final integration." The resulting quantum algorithm framework offers a unified approach to several matrix problems, advancing quantum linear algebra under more general conditions. This work suggests AI's role in theoretical research is evolving from task-specific assistance to supporting the entire research lifecycle—enhancing exploration and efficiency while keeping human expertise central to guiding inquiry and ensuring rigor. *Paper & System Links:* - AIM application report: https://arxiv.org/abs/2606.24899 - Quantum algorithm paper: https://arxiv.org/abs/2604.25333 - AIM repository: https://github.com/TheoryFoundry/AIMv2

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